Sr Data Scientist

AI Solutions; Chicago (IL); On-site; USD 93,000 - 168,000; Full time

Job summary

HCSC is seeking an Associate Data Scientist to apply advanced mathematical and statistical methods to health-status and outcomes data, provider characteristics, and internal processes. You will support analyses under direction from senior staff and help quantify trends identified by business analysts.

The role emphasizes data integration, statistical validation, and translating insights into actionable business improvements.

Qualifications

• Bachelor’s degree or higher in a quantitative field with required experience.
• Strong learning and growth mindset.
• Customer focus and strong communication skills.
• Proficiency in multiple data analysis, ML, visualization, programming, distributed computing, or healthcare domains.

Responsibilities

• Analyze data and validate trends using statistical methods to solve business problems.
• Collaborate with senior staff to interpret findings and communicate insights.

Skills

Data analysis

Machine learning

Data visualization

Programming language

Education

Bachelor's degree or higher

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

This Position Is Responsible For Using Advanced Mathematical And Statistical Methods To Solve Business Problems, Under Direction From More Senior Staff. Associate Data Scientists Collect, Integrate And Analyze Data From Sources Related To Health Status And Outcomes For Our Members, Characteristics Of Health Care Providers, Internal Business Processes, And Other Domains. Associate Data Scientists Perform Statistical Analysis On Experimental Or Business Data To Validate And Quantify Trends Or Patterns Identified By Business Analysts.

Required Job Qualifications:

• Bachelor’s degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Actuarial credential; OR Master’s degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field; OR 7 years experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field.
• Strong learning and growth mindset
• Customer focus
• Strong interpersonal, verbal and written communication skills.
• Proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.

Preferred Job Qualifications:

• Master's or Ph.D. in a quantitative field, or bachelor's degree with significant healthcare experience.
• Familiarity with GenAI evaluation and LLM observability (OpenTelemetry, MLflow Tracing, Arize, or comparable).
• Experience deploying GenAI/agentic AI to production in the cloud (Microsoft Foundry, Databricks Agent Bricks, or comparable).
• Understanding of agent architectures, including Model Context Protocol (MCP), agent harnesses, and single- and multi-agent design patterns, with attention to secure tool integration, guardrails, human-in-the-loop controls, and agent tracing.
• Experience with enterprise AI platforms (Databricks, Microsoft Foundry, or comparable) and Python frameworks for LLM applications.
• Ability to explain and evaluate trade-offs among accuracy, reliability, latency, cost, security, portability, and implementation complexity for technical and non-technical stakeholders.
• Experience using AI-assisted development tools while independently validating, testing, and documenting the resulting code or solution.
• Hands-on experience designing, building, or evaluating solutions using LLMs, including prompt engineering, RAG, embeddings, structured outputs, or agentic workflows.
• Experience developing agentic AI solutions that use tools, retrieval, and multi-step workflows, with orchestration frameworks such as LangChain, LangGraph, Microsoft Agent Framework, or comparable.
• Ability to describe specific GenAI/agentic AI solutions developed or contributed to: business problem, individual contribution, evaluation approach, and results.
• Experience evaluating GenAI outputs using labeled datasets, automated evaluation measures, and human review, including identifying failure modes (hallucination, accurate retrieval, unsuccessful tool use)

Compensation: $92,700.00 - $167,500.00

Exact compensation may vary based on skills, experience, and location

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. We are a drug-free and smoke-free workplace. Employment may be contingent upon successful completion of drug screening in accordance with applicable law.